Evidence map›Paper›PMID 41376677›Full record

ArticlePublic health action2025

SORT IT empowers oncology clinicians to boost research capacity and advance universal health coverage in India.

A Seshachalam, K Niraimathi, S G Raman, R Zachariah, P Thekkur

Abstract read
In one paragraph

Article in Public health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

A SeshachalamCollaborative Medical Oncologist Group, Chennai, India.
K NiraimathiEvidentia Research Solutions, Chennai, India.
S G RamanCollaborative Medical Oncologist Group, Chennai, India.
R ZachariahUNICEF, UNDP, World Bank, WHO, Special Programme for Research and Training in Tropical Diseases, Geneva, Switzerland.
P ThekkurCentre for Operational Research, International Union against Tuberculosis and Lung Disease, Paris, France.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The Structured Operational Research and Training Initiative (SORT IT), implemented through the Collaborative Medical Oncology Group in India, strengthened oncology research capacity by training clinicians, expanding research into underserved regions, and fostering a sustainable mentorship culture. Using a descriptive evaluation (2014-2025), the programme documented growth in research outputs, mentoring, and dissemination through a Real-World Evidence Conference and Stats Decoded pre-conference workshop. Context-specific innovations - hybrid learning, mobile data capture, and faculty development - enhanced scalability. Case examples demonstrated translation of research into improved cancer screening and diagnostics. SORT IT contributed to evidence-informed cancer care and provides a replicable framework for other medical disciplines.

Indexed as

cancer carehybrid trainingpeer mentorshippublic healthtuberculosis

Identifiers

PMID41376677
PMCPMC12687122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.